TY - GEN
T1 - A term-based methodology for template creation in information extraction
AU - Zervanou, Kalliopi
AU - McNaught, John
N1 - Publisher Copyright:
© 2000 Springer-Verlag Berlin Heidelberg.
PY - 2000
Y1 - 2000
N2 - In this paper, we are concerned with the problem of auto-matic template creation for Information Extraction (IE) and we present a methodology for the creation of IE templates. Our approach proposes the semi-Automatic construction of a semantic representation of textual information based on recognition of multi-word and nested terms and Named Entities (NEs) and subsequent exploitation of term and NE con-text for the induction of Information Extraction template rules.
AB - In this paper, we are concerned with the problem of auto-matic template creation for Information Extraction (IE) and we present a methodology for the creation of IE templates. Our approach proposes the semi-Automatic construction of a semantic representation of textual information based on recognition of multi-word and nested terms and Named Entities (NEs) and subsequent exploitation of term and NE con-text for the induction of Information Extraction template rules.
UR - http://www.scopus.com/inward/record.url?scp=84943185324&partnerID=8YFLogxK
U2 - 10.1007/3-540-45154-4_38
DO - 10.1007/3-540-45154-4_38
M3 - Conference contribution
AN - SCOPUS:84943185324
SN - 3540676058
SN - 9783540676058
T3 - Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
SP - 418
EP - 423
BT - Natural language processing - NLP 2000 - 2nd International Conference, Proceedings
A2 - Christodoulakis, Dimitris N.
PB - Springer
T2 - 2nd International Conference on Natural Language Processing, NLP 2000
Y2 - 2 June 2000 through 4 June 2000
ER -